The project at L’Arche Fredericton aims to create a sustainable and long-term monthly donor program to support individuals with intellectual and developmental disabilities. The intern will help develop digital fundraising strategies, manage donor relationships, and use data-driven approaches to increase engagement and retention. By the end of the project, the goal is to establish a […]

Thales : Briefing de Situation Intelligent Principales activités du partenaire : Thales Canada conçoit et met en oeuvre des solutions reposant sur des hautes technologies. L’entreprise offre des capacités de pointe dans les secteurs de l’aviation civile, de la défense, de l’identité et de la sécurité numériques. Problématique et avantages escomptés du projet : Ce […]

The Radiation Medicine Program at the Princess Margaret Cancer Centre delivers curative radiation therapy (RT) to cancer patients, including those with gynecological cancers, using a combination of external beam radiation therapy (EBRT) and brachytherapy (BT). A key clinical challenge is the accurate accumulation of radiation dose delivered across these modalities. Current methods rely on deformable […]

XEOS : Détection par IA de défauts sur des photographies aériennes Principales activités du partenaire : XEOS Imagerie est une entreprise spécialisée en photographie aérienne, relevés lidar et cartographie par intelligence artificielle. Elle a développé une grande expertise en cartographie par intelligence artificielle notamment à partir de nuages de points lidar en 3 dimensions et […]

Xello is a leading college and career readiness platform designed to engage K-12 students in career exploration, academic planning, and skill development. It provides educators with data-driven insights to support student success, helping school districts make informed decisions. To maintain its market leadership and enhance user experience, Xello seeks to improve its survey platform. The […]

Mapping clusters to behavior profiles – This project directly addresses the need to build a bidirectional predictive model: one that can not only infer motivational traits from data but also simulate likely outcomes from known psychometric inputs. This level of interpretability and personalization is important to introduce a layer of human-centered modeling previously unavailable in […]

Trolet cherche à standardiser la remise à neuf et la vente de chaussures uniques, chacune variant en matière, couleur, taille, marque et état. Actuellement, aucun ERP ne répond à cette problématique spécifique, ce qui freine la revalorisation d’articles uniques et limite l’impact écologique positif de l’industrie de l’habillement. Le projet vise à développer une interface […]

The Oakville Centre for Vision (OCV) is committed to advancing optometric care by streamlining refractive procedures, a critical yet often inefficient component of private practice operations hampered by inconsistent protocols, uneven clinical training, and fragmented management systems. In collaboration with Sheridan College’s Centre for Applied AI (CAAI), the Refraction Co-Pilot Platform project will deliver an […]

(1) Ocado Technology, a division of Ocado Group, specializes in AI-driven robotics and automated fulfillment solutions for online grocery retailers. The company develops machine learning models, robotic control systems, and computer vision technologies to improve warehouse automation. As a partner in this project, Ocado will provide mentorship, computational resources, proprietary datasets, and robotic simulation environments, […]

Artha Learning Inc. is a Canadian company that designs custom eLearning and blended learning solutions for corporate, government, and non-profit clients. We’re currently building AIReady—a powerful yet accessible platform that helps learning teams integrate artificial intelligence into their training content and workflows, without needing deep technical knowledge. Through this internship, we’re hoping to move several […]

(1) Activities of partner: Moonrise Medical is developing an AI-enabled ultrasound-based device to evaluate flow hemodynamics in the peripheral vascular system. They are targeting peripheral artery disease [1] and diabetic foot ulcers [2] to promote improved wound healing and prevent amputations. (2) Challenges the partner aims to solve: The main challenge being addressed is how […]

This research investigates whether tensor networks can serve as interpretable surrogates for graph neural networks (GNNs). It explores whether tensor networks can approximate the functional behavior of GNNs while offering a more structured and interpretable internal representation. The project aims to quantify the contribution of nodes, edges, and features to predictions through this surrogate representation, […]